- A
Audit trail and PII masking
Why wrong: Audit trail provides a log but not an explanation; PII masking protects privacy but does not explain decisions.
- B
Toxicity detection and audit trail
Why wrong: Toxicity detection is for content safety, not explanation. Audit trail logs events but does not explain the reasoning to the patient.
- C
Zero Data Retention and PII masking
Why wrong: These protect privacy but do not provide explanations for decisions.
- D
Score factors and grounding
Score factors reveal the most influential features in the prediction, and grounding connects the AI to the specific CRM data used, enabling a clear explanation of the decision logic.
Question 783 of 1,000
Using Trust Layer Features for GDPR Right to Explanation
This AI Associate practice question tests your understanding of ethical ai and data privacy. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A healthcare organization uses Einstein Next Best Action to recommend treatments to patients. They must comply with GDPR's right to explanation for automated decisions. Which combination of Einstein Trust Layer features is MOST essential to meet this requirement?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Score factors and grounding
The right to explanation requires that individuals can obtain meaningful information about the logic involved in automated decisions. Score factors provide the most influential fields for a prediction, and grounding connects the AI to relevant CRM data, enabling a transparent explanation. Toxicity detection is not relevant. Audit trail logs actions but does not provide explanation to the patient.
Key principle: Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Audit trail and PII masking
Why it's wrong here
Audit trail provides a log but not an explanation; PII masking protects privacy but does not explain decisions.
- ✗
Toxicity detection and audit trail
Why it's wrong here
Toxicity detection is for content safety, not explanation. Audit trail logs events but does not explain the reasoning to the patient.
- ✗
Zero Data Retention and PII masking
Why it's wrong here
These protect privacy but do not provide explanations for decisions.
- ✓
Score factors and grounding
Why this is correct
Score factors reveal the most influential features in the prediction, and grounding connects the AI to the specific CRM data used, enabling a clear explanation of the decision logic.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
CIDR notation defines the prefix length.
Common exam traps
Common exam trap: usable hosts are not the same as total addresses
Subnetting questions often tempt you into counting all addresses. In normal IPv4 subnets, the network and broadcast addresses are not usable host addresses.
Detailed technical explanation
How to think about this question
Subnetting questions test whether you can identify the network, broadcast address, usable range, mask and correct subnet. Slow down enough to calculate the block size correctly.
KKey Concepts to Remember
- CIDR notation defines the prefix length.
- Block size helps identify subnet boundaries.
- Network and broadcast addresses are not usable hosts in normal IPv4 subnets.
- The required host count determines the smallest suitable subnet.
TExam Day Tips
- Write the block size before choosing the subnet.
- Check whether the question asks for hosts, subnets or a specific address range.
- Do not confuse /24, /25, /26 and /27 host counts.
Key takeaway
Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets.
Real-world example
How this comes up in practice
A network engineer segments a warehouse floor into three subnets: 20 scanners, 5 printers, and 2 management hosts. Picking the wrong mask wastes addresses or leaves too few usable hosts. Exam questions test whether you can apply CIDR notation, calculate block size, and identify the correct usable-host range for a given prefix.
What to study next
Got this wrong? Here's your next step.
Review block sizes, usable host formulas (2^n − 2), and how to find network and broadcast addresses for /24 through /30. Then practise related AI Associate subnetting questions on CIDR, address ranges, and subnet selection.
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Ethical AI and Data Privacy — study guide chapter
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FAQ
Questions learners often ask
What does this AI Associate question test?
Ethical AI and Data Privacy — This question tests Ethical AI and Data Privacy — CIDR notation defines the prefix length..
What is the correct answer to this question?
The correct answer is: Score factors and grounding — The right to explanation requires that individuals can obtain meaningful information about the logic involved in automated decisions. Score factors provide the most influential fields for a prediction, and grounding connects the AI to relevant CRM data, enabling a transparent explanation. Toxicity detection is not relevant. Audit trail logs actions but does not provide explanation to the patient.
What should I do if I get this AI Associate question wrong?
Review block sizes, usable host formulas (2^n − 2), and how to find network and broadcast addresses for /24 through /30. Then practise related AI Associate subnetting questions on CIDR, address ranges, and subnet selection.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
CIDR notation defines the prefix length.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more ways this is tested on AI Associate
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A healthcare organization uses Einstein Next Best Action to recommend treatment plans to practitioners. A patient disputes a recommendation, claiming it was based on inaccurate historical data. Under GDPR, the patient has the right to obtain an explanation of the automated decision. Which Salesforce feature directly supports this right to explanation?
hard- A.Einstein Activity Capture to gather customer interactions
- B.Data Processing Addendum (DPA) signed with Salesforce
- C.Data Cloud permission sets to control data access
- ✓ D.Einstein Trust Layer audit trail and model explainability
Why D: Einstein Trust Layer provides transparency and explainability features. The audit trail logs the factors that influenced the recommendation, and model explainability surfaces those factors. The combination of audit trail and explainability directly enables the right to explanation.
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Last reviewed: Jul 4, 2026
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